E-Book, Englisch, 552 Seiten
Kavanagh Google Machine Learning and Generative AI for Solutions Architects
1. Auflage 2024
ISBN: 978-1-80324-702-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Build efficient and scalable AI/ML solutions on Google Cloud
E-Book, Englisch, 552 Seiten
ISBN: 978-1-80324-702-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
No detailed description available for "Google Machine Learning and Generative AI for Solutions Architects".
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Weitere Infos & Material
Table of Contents - AI/ML Concepts, Real-World Applications, and Challenges
- Understanding the ML Model Development Lifecycle
- AI/ML Tooling and the Google Cloud AI/ML Landscape
- Utilizing Google Cloud's High-Level AI Services
- Building Custom ML Models on Google Cloud
- Diving Deeper—Preparing and Processing Data for AI/ML Workloads on Google Cloud
- Feature Engineering and Dimensionality Reduction
- Hyperparameters and Optimization
- Neural Networks and Deep Learning
- Deploying, Monitoring, and Scaling in Production
- Machine Learning Engineering and MLOps with GCP
- Bias, Explainability, Fairness, and Lineage
- ML Governance and the Google Cloud Architecture Framework
- Advanced Use Cases and Technologies
- An Introduction to Generative AI
- Generative AI on Google Cloud
- Advanced Generative AI Concepts and Use Cases
- Bringing It All Together—Building ML Solutions with GCP and Vertex